Understanding Your Data
Enterprise data is full of references to the same entities — people, companies, products, transactions — but each system uses different identifiers, formats, and naming conventions. Without entity resolution, AI agents treat each reference as a separate entity, leading to fragmented and contradictory context.
mantle automatically detects entities across all connected sources, resolves them into unified records, and maps the relationships between them. The result is a living knowledge graph that understands your business at a semantic level.
How It Works
Entity Detection
NLP and pattern matching identify entities (people, organizations, products, events) across all connected data sources in real time.
Entity Resolution
Probabilistic matching resolves the same entity across systems — even when names, IDs, and formats differ. John Smith in Salesforce becomes jsmith@acme.com in Slack.
Relationship Mapping
The knowledge graph maps connections between resolved entities — org hierarchies, deal relationships, communication patterns, and dependency chains.
200+
Entity types supported out of the box